Search results for "Base"

showing 10 items of 8362 documents

How Students Get Going : Triggers for Students’ Learning in Project-Based Education

2018

Repeatedly documented positive student responses to project-based learning during its decades-long tradition in CS attest to the effectiveness of learning by doing. Support for reflective learning nevertheless continues to be a topic worth studying because the intensity of project work together with a high technical orientation among CS students often complicate reflective practice. A critical incident-inspired assignment was added to a project-based course to support reflective practice in spring 2017. In a previous study, the authors analyzed how students approached the assignment and whether they found it supportive for learning. The present study content-analyses the situations that tri…

ta113Computer sciencegovernment.form_of_governmentReflective practice05 social sciences0211 other engineering and technologiesprojektioppiminen050301 education02 engineering and technologyProject-based learningLearning-by-doing (economics)Work (electrical)Project basedproject-based learningMathematics educationgovernmentlearning triggersStudent learning0503 educationCritical Incident Techniquereflektio021106 design practice & managementIncident reportreflection
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A Repository for Multirelational Dynamic Networks

2012

Nowadays, WWW contains a number of social media sites, which are growing rapidly. One of the main features of social media sites is to allow to its users creation and modification of contents of the site utilizing the offered WWW interfaces. Such contents are referred to as user generated contents and their type varies from site to site. Social media sites can be modeled as constantly evolving multirelational directed graphs. In this paper we discuss persistent data structures for such graphs, and present and analyze queries performed against the structures. We also estimate the space requirements of the proposed data structures, and compare them with the naive "store each complete snapshot…

ta113Databasebusiness.industryComputer scienceDirected graphcomputer.software_genreData structureData modelingTemporal databaseSnapshot (computer storage)Social mediaPersistent data structurebusinesscomputerContent management2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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Wastewater treatment: New insight provided by interactive multiobjective optimization

2011

In this paper, we describe a new interactive tool developed for wastewater treatment plant design. The tool is aimed at supporting the designer in designing new wastewater treatment plants as well as optimizing the performance of already available plants. The idea is to utilize interactive multiobjective optimization which enables the designer to consider the design with respect to several conflicting evaluation criteria simultaneously. This is more important than ever because the requirements for wastewater treatment plants are getting tighter and tighter from both environmental and economical reasons. By combining a process simulator to simulate wastewater treatment and an interactive mul…

ta113Decision support systemInformation Systems and ManagementOperations researchProcess (engineering)business.industrySoftware developmentMulti-objective optimizationManufacturing engineeringManagement Information SystemsSimulation-based optimizationArts and Humanities (miscellaneous)WastewaterDevelopmental and Educational PsychologyDesign processbusinessEngineering design processInformation SystemsDecision Support Systems
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Shape Sensitivity Analysis and Gradient-Based Optimization of Large Structures Using MLFMA

2014

A fast method for computing the action of shape-differentiated electric field integral equation (EFIE) system matrix to a vector is derived exploiting the multilevel fast multipole algorithm (MLFMA). The proposed method is used in conjunction with the adjoint-variable method (AVM) to compute the shape gradient of arbitrary objective functions depending on shape of a metallic scatterer. The method is demonstrated numerically by optimizing the shape of a parabolic reflector illuminated with a half-wave dipole.

ta113DipoleParabolic reflectorGradient based algorithmMathematical analysisShape gradientSensitivity (control systems)Electrical and Electronic EngineeringElectric-field integral equationMultipole expansionAction (physics)MathematicsIEEE Transactions on Antennas and Propagation
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Anomaly Detection Algorithms for the Sleeping Cell Detection in LTE Networks

2015

The Sleeping Cell problem is a particular type of cell degradation in Long-Term Evolution (LTE) networks. In practice such cell outage leads to the lack of network service and sometimes it can be revealed only after multiple user complains by an operator. In this study a cell becomes sleeping because of a Random Access Channel (RACH) failure, which may happen due to software or hardware problems. For the detection of malfunctioning cells, we introduce a data mining based framework. In its core is the analysis of event sequences reported by a User Equipment (UE) to a serving Base Station (BS). The crucial element of the developed framework is an anomaly detection algorithm. We compare perfor…

ta113Engineeringta213business.industryEvent (computing)Real-time computingProbabilistic logicdata miningSONanomaly detectionself-organizing networksLTEBase stationcell outageSoftwareRandom-access channelUser equipmentNetwork serviceAnomaly detectionmobile cellular networkstiedonlouhintabusiness
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A modelling framework for social media monitoring

2013

This paper describes a hierarchical, three-level modelling framework for monitoring social media. Immediate social reality is modelled through the first level of the models. They represent various virtual communities at social media sites and adhere to the social world models of the sites, i.e., the "site ontologies". The second-level model is a temporal multirelational graph that captures the static and dynamic properties of the first-level models from the perspective of the monitoring site. The third-level model consists of a temporal relational database scheme that models the temporal multirelational graph within the database. The models are specified and instantiated at the monitoring s…

ta113Graph databaseComputer Networks and Communicationsbusiness.industryComputer scienceRelational databaseSocial realitySchematiccomputer.software_genreTemporal databaseHardware and ArchitectureGraph (abstract data type)The InternetSocial mediaData miningbusinesscomputerInformation SystemsInternational Journal of Web Engineering and Technology
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A Generic Architecture for a Social Network Monitoring and Analysis System

2011

This paper describes the architecture and a partial implementation of a system designed for the monitoring and analysis of communities at social media sites. The main contribution of the paper is a novel system architecture that facilitates long-term monitoring of diverse social networks existing and emerging at various social media sites. It consists of three main modules, the crawler, the repository and the analyzer. The first module can be adapted to crawl different sites based on ontology describing the structure of the site. The repository stores the crawled and analyzed persistent data using efficient data structures. It can be implemented using special purpose graph databases and/or …

ta113Graph databaseDatabaseRelational databaseComputer scienceSystems architectureGraph (abstract data type)Persistent data structureOntology (information science)computer.software_genreSoftware architectureData structurecomputer2011 14th International Conference on Network-Based Information Systems
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A Hybrid Multigroup Coclustering Recommendation Framework Based on Information Fusion

2015

Collaborative Filtering (CF) is one of the most successful algorithms in recommender systems. However, it suffers from data sparsity and scalability problems. Although many clustering techniques have been incorporated to alleviate these two problems, most of them fail to achieve further significant improvement in recommendation accuracy. First of all, most of them assume each user or item belongs to a single cluster. Since usually users can hold multiple interests and items may belong to multiple categories, it is more reasonable to assume that users and items can join multiple clusters (groups), where each cluster is a subset of like-minded users and items they prefer. Furthermore, most of…

ta113Information retrievalComputer sciencebusiness.industrydata miningRecommender systemcomputer.software_genreTheoretical Computer ScienceInformation fusionKnowledge baseArtificial IntelligenceCollaborative FilteringScalabilityCluster (physics)Collaborative filteringLearning to rankData miningrecommender systemsCluster analysisbusinesscomputercluster analysisACM Transactions on Intelligent Systems and Technology
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Cross-Domain Recommendations with Overlapping Items

2016

In recent years, there has been an increasing interest in cross-domain recommender systems. However, most existing works focus on the situation when only users or users and items overlap in different domains. In this paper, we investigate whether the source domain can boost the recommendation performance in the target domain when only items overlap. Due to the lack of publicly available datasets, we collect a dataset from two domains related to music, involving both the users’ rating scores and the description of the items. We then conduct experiments using collaborative filtering and content-based filtering approaches for validation purpose. According to our experimental results, the sourc…

ta113Information retrievaldata collectionComputer sciencesuosittelujärjestelmät02 engineering and technologyDomain (software engineering)020204 information systemscollaborative filtering0202 electrical engineering electronic engineering information engineeringcross-domain recommendationscontent-based filtering020201 artificial intelligence & image processingrecommender systems
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Open Resources as the Educational Basis for a Bachelor-level Project-Based Course

2015

This article presents an innovation-based course concept for project-based learning. In this course, student groups are asked to ideate and implement a software product based on Open Data and Open API releases. By emphasizing students’ own product ideation, the course requires and enhances self-directed learning skills and prompts the students to see the unlimited possibilities in becoming and being a practitioner of the computing discipline. Relatedly, the course provides a tool to improve student self-efficacy, as the students, coached through challenges, come to know that they are able to produce software using various open interfaces.

ta113Knowledge managementComputer sciencebusiness.industrymedia_common.quotation_subjectCreativityBachelorOpen APICourse (navigation)Open dataSoftwareOpen APIProject basedOpen Dataproject-basedComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationta516Product (category theory)innovation abilitybusinesscreativitymedia_common
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